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MIAX:一种用于评估大分子相互作用的系统。3)一种用于柔性蛋白质对接的并行混合遗传算法。

MIAX: a system for assessment of macromolecular interaction. 3) A parallel hybrid GA for flexible protein docking.

作者信息

Del Carpio C A, Yoshimori A

机构信息

Laboratory for Informatics & AI in Molecular and Biological Sciences,Department of Ecological Engineering, Toyohashi University of Technology, Tempaku, Toyohashi 441-8580, Japan.

出版信息

Genome Inform Ser Workshop Genome Inform. 2000;11:205-14.

Abstract

We propose a parallel hybrid genetic algorithm for flexible protein-protein docking in order to improve the conventional rigid-body models to manipulate protein-protein interactions. The proposed hybrid algorithm is a combination of an evolutionary algorithm with a simulated annealing one, yielding a powerful protein-complex conformation-searching engine. Parallelization of the procedure makes possible to reach high algorithm performance, in both, execution times and size of treated monomers and complexes. Knowledge on side chain flexibility is extracted by means of an exhaustive analysis of crystallographic data on proteins and protein complexes. Results demonstrate the competency of the algorithm since comparison of calculated and crystallographic data accounts for a maximum of 2.5A in RMS difference, including side chain conformation. The system allows routine analysis of this fundamental molecular biology problem important to elucidate bio-macromolecular function in biophysical and biochemical mechanisms involving molecular recognition and interaction, yielding simultaneously clues for designing new proteins and enzymes directed to different purposes.

摘要

我们提出了一种用于灵活蛋白质-蛋白质对接的并行混合遗传算法,以改进传统的刚体模型来处理蛋白质-蛋白质相互作用。所提出的混合算法是进化算法与模拟退火算法的结合,产生了一个强大的蛋白质复合物构象搜索引擎。该过程的并行化使得在执行时间以及处理的单体和复合物大小方面都有可能实现高算法性能。通过对蛋白质和蛋白质复合物晶体学数据的详尽分析,提取有关侧链灵活性的知识。结果证明了该算法的能力,因为计算数据与晶体学数据的比较在包括侧链构象的均方根(RMS)差异中最大为2.5埃。该系统允许对这个基本分子生物学问题进行常规分析,这对于阐明涉及分子识别和相互作用的生物物理和生化机制中的生物大分子功能很重要,同时为设计针对不同目的的新蛋白质和酶提供线索。

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